Overview
Databricks is on a mission to empower customers to solve the world’s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with Sales and Field Engineering teams to accelerate adoption and growth of the Databricks platform in customers, and help ensure customer success by increasing focus and technical accountability for complex customers who need guidance to accelerate usage on Databricks workloads they have selected, maximizing value and return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in assigned customers and use cases through leading customers’ stakeholders, building executive relationships, coordinating with specialized teams within Databricks, and creating and driving plans for Databricks colleagues to execute. You will also serve as the post-sale technical lead across all Databricks products, engaging and communicating with the organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization.
The Impact You Will Have
Responsibilities
* Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
* Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
* Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
* Be the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account, often servicing multiple use cases within large, complex organizations
* Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, escalating to expert-level technical experts to build tasks beyond your scope
* Create, own and execute a point-of-view on how key use cases can be accelerated into production, coordinating with Professional Services on PS Engagement proposals
* Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
* Develop an execution plan that covers all activities of all customer-facing technical roles and teams across work streams: main use cases moving from win to production; enablement/user growth; product adoption; organic needs (cloud cost control, tuning & optimization); executive and operational governance
* Provide internal and external updates - KPI reporting on usage and customer health, covering investment status, risks, product adoption and use case progression to your Technical GM
What We Look For
* 5+ years of experience accountable for technical project/program delivery within data and AI, with ability to contribute to technical debate and design choices with customers
* Programming experience in Python, SQL or Scala
* Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
* Understanding of solution architecture related distributed data systems
* Understanding of how to attribute business value and outcomes to specific project deliverables
* Technical program or project management including account, stakeholder and resource management accountability
* Experience resolving complex escalations with senior customer executives
* Experience conducting open-ended discovery workshops, creating strategic roadmaps, business analysis and managing delivery of complex programmes/projects
* Track record of overachievement against quota/goals or similar targets
* Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience
* Can travel up to 30% when needed
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
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